Data Engineer / Data Scientist
We're Concentrix. The intelligent transformation partner. Tech-powered. Intelligence-fueled.
The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
The Concentrix Technical Products and Services team is the driving force behind Concentrix's transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional.



And we're proud to be recognized with awards such as 'World's Best Workplaces,' 'Best Companies for Career Growth,' and 'Best Company Culture,' year after year.
Job Description: Data Engineer / Data Scientist
Experience: 5-8 years
Position Type: Immediate Requirement
Location: Remote
We are looking for an experienced Data Engineer / Data Scientist with strong hands-on expertise in Python, PySpark, Azure Databricks, and MLOps. The ideal candidate will have experience developing scalable batch and streaming data pipelines, working on machine learning projects, debugging Spark applications, and supporting model deployment.
Develop scalable data processing solutions using Python, PySpark, and Azure Databricks.
Build and maintain batch and streaming data pipelines.
Develop and optimize Spark DataFrame-based transformations.
Implement Delta Lake solutions for data reliability, versioning, and efficient querying.
Develop APIs using Python or Scala for data and machine learning applications.
Support machine learning projects, MLOps workflows, and model deployment activities.
Work with Azure services for data ingestion, storage, security, integration, and processing.
Validate processed data by building and executing DataFrame-based checks.
Strong hands-on expertise in Python and PySpark .




Positive knowledge of Microsoft Azure and Azure Databricks .
Hands-on experience with MLOps practices and tools .
Basic understanding of machine learning model deployment .
Practical experience working on machine learning projects .
Experience developing and debugging Spark-based applications.
Ability to work independently and interact effectively with project teams.
Hands-on experience in Databricks notebook development.
Strong experience with Spark DataFrames using PySpark or Scala.
Experience debugging and optimizing Spark jobs in Azure Databricks.
Knowledge of API development using Python or Scala.
Azure Event Hubs
Azure Storage Accounts
Azure Service Bus
Azure Data Lake Storage
Understanding of Databricks job clusters and compute configurations.
Hands-on experience implementing Azure cloud-based data solutions.
Experience developing batch and streaming pipelines using Event Hubs, Kafka, or IoT data sources.
Experience implementing Delta Lake solutions for data reliability, versioning, and query performance.
CI/CD implementation for data and machine learning workloads.
Performance tuning of Spark applications and Databricks workloads.
Data quality validation, monitoring, and production support.
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Technology, or a related discipline.
~5-8 years of relevant experience in data engineering, data science, machine learning, or cloud analytics.

Language Requirements:

Full time

📌 Data Engineering Scientist (Bengaluru)
🏢 Concentrix
📍 Bengaluru